Projects per year
Abstract
One of the greatest concerns related to the popularity of GPS-enabled devices and applications is the increasing availability of the personal location information generated by them and shared with application and service providers. Moreover, people tend to have regular routines and be characterized by a set of “significant places”, thus making it possible to identify a user from his/her mobility data.
In this paper we present a series of techniques for identifying individuals from their GPS movements. More specifically, we study the uniqueness of GPS information for three popular datasets, and we provide a detailed analysis of the discriminatory power of speed, direction and distance of travel. Most importantly, we present a simple yet effective technique for the identification of users from location information that are not included in the original dataset used for training, thus raising important privacy concerns for the management of location datasets.
In this paper we present a series of techniques for identifying individuals from their GPS movements. More specifically, we study the uniqueness of GPS information for three popular datasets, and we provide a detailed analysis of the discriminatory power of speed, direction and distance of travel. Most importantly, we present a simple yet effective technique for the identification of users from location information that are not included in the original dataset used for training, thus raising important privacy concerns for the management of location datasets.
Original language | English |
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Article number | 11 |
Journal | EPJ Data Science |
Volume | 4 |
Issue number | 1 |
DOIs | |
Publication status | Published - 5 Aug 2015 |
Keywords
- GPS
- privacy
- identification
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Dive into the research topics of 'Spatio-temporal techniques for user identification by means of GPS mobility data'. Together they form a unique fingerprint.Projects
- 2 Finished
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Trajectories of Depression: Investigating the Correlation between Human Mobility Patterns and Mental Health Problems by means of Smartphones
Musolesi, M. (Principal Investigator)
Engineering & Physical Science Research Council
31/03/14 → 30/05/15
Project: Research Councils
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The Uncertainty of Identity: Linking Spatiotemporal Information between Virtual and Real Worlds (via UCL)
Musolesi, M. (Principal Investigator)
Engineering & Physical Science Research Council
1/11/11 → 30/04/15
Project: Research Councils